Features of crystallization of chitosan with different molecular mass and its mixtures with pluronic F-127 according to atomic force microscopy and X-ray diffraction data
Bibliographic record
Abstract
The structure of chitosan with different molecular mass and its mixtures with pluronic F-127 (triblock copolymer of ethylene and propylene oxide) crystallized from aqueous solutions was analyzed by atomic force microscopy and X-ray diffraction methods. It was established that the low-molecular-mass chitosan (M w = 20000) had a highly ordered macrocrystalline structure, whereas the high-molecular-mass chitosan (M w = 250000) was characterized by a poorly ordered quasi-crystalline structure. It was shown that, after evaporation of the aqueous solution of high-molecular-mass chitosan and pluronic F-127, chitosan formed a continuous film on the mica surface and pluronic formed dendritic structures on the chitosan surface. At the same time, the evaporation of the solution of the low-molecular-mass chitosan and pluronic F-127 mixture resulted in the formation of interpenetrating dendrites of chitosan and pluronic on the mica surface. In the low-molecular-mass chitosan-pluronic systems, a pluronic crystalline phase was formed at a lower pluronic content than in the case of high-molecular-mass chitosan-pluronic systems.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".